Yes. I even tried just starting one node only, and then bootstrapping
another node. (However, at the beginning a few days ago, the cluster was
unstable and unresponsive and I had to restart the cluster. Maybe something
went wrong back then.)

Anyway, I will export all the data, and reimport it with the new
randomparitioner, which I should have used from the beginning.

Thanks,
Thibaut






On Thu, Oct 28, 2010 at 12:35 AM, Tyler Hobbs <ty...@riptano.com> wrote:

> Not sure if this is the cause, but do all of your nodes have the same seed
> list?  Did you bring up the seeds first?
>
> - Tyler
>
>
> On Wed, Oct 27, 2010 at 1:46 PM, Thibaut Britz <
> thibaut.br...@trendiction.com> wrote:
>
>> Depending on the range I choose, choosing manually a token will also fail.
>> (node will never exit boostrap, streams doesn't list any open streams)
>>
>>
>>  INFO [Thread-53] 2010-10-27 20:33:37,399 SSTableReader.java (line 120)
>> Sampling index for /hd2/cassandra/data/table_xyz/table_xyz-3-Data.db
>>  INFO [Thread-53] 2010-10-27 20:33:37,444 StreamCompletionHandler.java
>> (line 64) Streaming added /hd2/cassandra/data/table_xyz/table_xyz-3-Data.db
>>
>> Stacktracke:
>>
>> "pool-1-thread-53" prio=10 tid=0x00000000412f2800 nid=0x215c runnable
>> [0x00007fd7cf217000]
>>    java.lang.Thread.State: RUNNABLE
>>         at java.net.SocketInputStream.socketRead0(Native Method)
>>         at java.net.SocketInputStream.read(SocketInputStream.java:129)
>>         at java.io.BufferedInputStream.fill(BufferedInputStream.java:218)
>>         at java.io.BufferedInputStream.read1(BufferedInputStream.java:258)
>>         at java.io.BufferedInputStream.read(BufferedInputStream.java:317)
>>         - locked <0x00007fd7e77e0520> (a java.io.BufferedInputStream)
>>         at
>> org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:126)
>>         at
>> org.apache.thrift.transport.TTransport.readAll(TTransport.java:84)
>>         at
>> org.apache.thrift.protocol.TBinaryProtocol.readAll(TBinaryProtocol.java:314)
>>         at
>> org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:262)
>>         at
>> org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:192)
>>         at
>> org.apache.cassandra.thrift.Cassandra$Processor.process(Cassandra.java:1154)
>>         at
>> org.apache.cassandra.thrift.CustomTThreadPoolServer$WorkerProcess.run(CustomTThreadPoolServer.java:167)
>>         at
>> java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
>>         at
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
>>         at java.lang.Thread.run(Thread.java:662)
>>
>>
>>
>>
>>
>>
>> On Wed, Oct 27, 2010 at 8:27 PM, Thibaut Britz <
>> thibaut.br...@trendiction.com> wrote:
>>
>>> Hello Tyler,
>>>
>>> thanksf or the quick answer. That's true, I should have noticed.
>>>
>>> I also tried kicking out one node, clearing all directories and then
>>> restarting it with the bootstrap option. It received a few files, but just
>>> set there in bootstrapping mode (streams always printed bootstrapping
>>> without any files open), forever (> 15 minutes). I stopped the applicaiton
>>> so it couldn't be load related, and also tried with a fresh cluster restart.
>>> What could cause this?
>>>
>>> (This should ahve the advantage of cassandra choosing a key in my range
>>> which splits the range evenly?)
>>>
>>>
>>> Thanks,
>>> Thibaut
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> On Wed, Oct 27, 2010 at 7:40 PM, Tyler Hobbs <ty...@riptano.com> wrote:
>>>
>>>> With OrderPreservingPartitioner, you have to keep the ring balanced
>>>> manually.
>>>> This is why people frequently suggest that you use RandomPartitioner
>>>> unless
>>>> you absolutely have to do otherwise.  With OPP, keys are *not* evenly
>>>> distributed
>>>> around the ring.
>>>>
>>>> Apparently you have lots of keys that are between ~'t' and 'x', so start
>>>> bunching
>>>> your tokens there.
>>>>
>>>> - Tyler
>>>>
>>>>
>>>> On Wed, Oct 27, 2010 at 12:00 PM, Thibaut Britz <
>>>> thibaut.br...@trendiction.com> wrote:
>>>>
>>>>> Hi,
>>>>>
>>>>> I have a little java hector test application running whcih writes and
>>>>> reads data to my little cassandra cluster (7 nodes).
>>>>>
>>>>> The data doesn't get loadbalanced at all:
>>>>>
>>>>> 192.168.1.12 Up         178.32 MB
>>>>> 8S6VvT7oKNcQTso3                           |<--|
>>>>> 192.168.1.14 Up         30.12 MB
>>>>> 9tybk3nB6JCtqQU1                           |   ^
>>>>> 192.168.1.15 Up         11.96 MB
>>>>> RZVG3NC3ksqjEmYE                           v   |
>>>>> 192.168.1.16 Up         668.7 KB
>>>>> aTV6W12YxxMI31Z8                           |   ^
>>>>> 192.168.1.10 Up         22.86 GB
>>>>> u5iaQxEfyUSwnPn1                           v   |
>>>>> 192.168.1.13 Up         22.5 GB
>>>>> vZlWeU8b6LBeAcAY                           |   ^
>>>>> 192.168.1.11 Up         22.27 GB
>>>>> xrmaUS6nnrYFSk8e                           |-->|
>>>>>
>>>>> What could be the issue? I couldn't find anything in the FAQ related to
>>>>> this
>>>>>
>>>>> Will data (writes) always be added to the server I connect to? If so,
>>>>> why will the replicas then always be stored on the same 2 other machines.
>>>>>
>>>>> (Tested with
>>>>> <Partitioner>org.apache.cassandra.dht.OrderPreservingPartitioner</Partitioner>
>>>>> on 0.6.5 and replication level 3)
>>>>>
>>>>> Thanks,
>>>>> Thibaut
>>>>>
>>>>>
>>>>>
>>>>>
>>>>
>>>
>>
>

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